Data Scientist

Talantir; Myrtle Point (OR); Remote; USD 120,000 - 180,000; Full time

Job summary

SOSi is seeking a Data Scientist to support a DoD customer by developing and sustaining a scalable, federated data ecosystem for real-time information sharing and mission-tailored analytics.

You will work within an Agile environment to refine predictive models, analyze large datasets, and deliver insights that enhance interoperability, governance, and operational planning across DoD, IC, and partners.

Qualifications

• Bachelor's degree in Data Science, Statistics, CS, or related field, or seven+ years of ML experience.
• Experience in data mining, statistical modeling, and AI-driven forecasting.
• Proficiency with Python, R, SQL and data science libraries (Pandas, NumPy, SciPy).
• Knowledge of data visualization, feature selection, and geospatial analytics.
• Experience with cloud-based AI/ML tools (AWS SageMaker or Azure ML) and operationalization.

Responsibilities

• The contractor shall develop and refine predictive models, conduct EDA, and generate AI-driven insights.
• The contractor shall integrate customer feedback into model iterations using Agile methodologies.
• The contractor shall submit the Predictive Model Performance Report with metrics and impact.
• The contractor shall implement sprint-based Agile development cycles and backlog grooming.
• The contractor shall provide ROM Estimates Report detailing FTE hours, compute, storage, and infra needs.
• The contractor shall conduct quarterly cost and resource utilization reviews.

Skills

Predictive modeling

Exploratory data analysis

Python

R

SQL

Data visualization

Geospatial analytics

Feature engineering

Statistical testing

AI/ML forecasting

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related field

7+ years of equivalent experience in ML and predictive modeling

Tools

Pandas

NumPy

SciPy

AWS SageMaker

Azure Machine Learning

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties

• The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
• The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
• The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
• The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
• The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
• The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; seven (7) years of equivalent experience in machine learning and predictive modeling.

Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.

Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.

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Knowledge of data visualization, feature selection, and geospatial analytics is required.

Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications

Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information

Work Environment

Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.